Risheek Garrepalli

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Risheek Garrepalli trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Walter J. Scheirer
  2. Pascal Massart
  3. Dan Hendrycks
  4. Fei Tony Liu
  5. Tomás Pevný

Who trusts Risheek Garrepalli overall

  1. Dan Hendrycks
  2. Alexander Meinke

Papers from Risheek Garrepalli's perspective

Ordered by how strongly the researchers Risheek Garrepalli trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Estimating the Support of a High-Dimensional Distribution
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
  6. Probability Models for Open Set Recognition
  7. Towards Open Set Deep Networks
  8. Toward Open Set Recognition
  9. Isolation Forest
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers